eastgenomics/eggd_conductor_configs
Apr 2026 – Apr 2026
1 Month active
Languages Used
JSON
Technical Skills
bioinformaticsconfiguration managementdata analysisdata integritygenomic data processinggenomics
ChrisPyatt
PROFILE
Chrispyatt
Worked on the eastgenomics/eggd_conductor_configs repository to enhance and stabilize variant filtering and configuration workflows for genomic data processing. Focused on improving data integrity during workbook generation by reinstating critical columns and implementing sheet protection. Addressed a bug in filter string bracket syntax to ensure accurate variant filtering, and refined filtering criteria to exclude non-coding regions from specified genes. Updated configuration references to align with signed-off versions, supporting reproducible analyses. Utilized skills in bioinformatics, configuration management, and data analysis, with changes implemented primarily in JSON. The work emphasized traceability, safer downstream data handling, and robust configuration management practices.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
2
Lines of code
2,421
Activity Months1
Your Network
242 peopleWork History
April 2026
4 Commits • 2 Features
Apr 1, 2026April 2026 monthly performance snapshot for eastgenomics/eggd_conductor_configs focused on stabilizing and enhancing the variant filtering/configuration workflow and ensuring data integrity in workbook generation. Delivered targeted fixes and improvements with clear traceability to commits, enabling reproducible results and safer data handling in downstream analyses.
4 Commits • 2 Features
Apr 1, 2026April 2026 monthly performance snapshot for eastgenomics/eggd_conductor_configs focused on stabilizing and enhancing the variant filtering/configuration workflow and ensuring data integrity in workbook generation. Delivered targeted fixes and improvements with clear traceability to commits, enabling reproducible results and safer data handling in downstream analyses.
April 2026
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage25.0%
Skills & Technologies
Programming Languages
JSON
Technical Skills
bioinformaticsconfiguration managementdata analysisdata integritygenomic data processinggenomicssoftware development
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